nb07
Key Data
The fourth Formula Student racing car of the TU Munich – the nb07 – was presented to the public on June 14, 2007.
The team designed the entire vehicle in Catia V5 as a DMU in approx. 10 months of development and production time and converted it 1:1 into reality.
Mass (ready to drive) in kg
0
Maximum speed in km/h
0
Acceleration from 0-100km/h
0
Motor
- 599ccm motorcycle engine from Kawasaki ZX6R
- Power approx. 88 DIN hp at 12.000 rpm
- torque: approx. 62Nm at 10.000U/min
- self developed engine management system stage 3
- Conversion from carburetor to fuel injection
- Modified dry sump lubrication
- CFD optimized CFK airbox
Nominal power in hp
0
Monocoque
- Hand-laminated CFRP monocoque
- Aluminum honeycomb and special plastic as sandwich material
- FEM calculation of torsional stiffness
- High torsional stiffness
- Weight: 22 kg
Suspension & Drivetrain
- Double wishbone wheel suspension
- Suspension design with the help of ADAMS and own software
- Carbon fiber control arms, bolted to aluminum wheel carriers via bushings
- Two-piece wheel carrier with stiffness-optimized internal geometry
- Cane Creek Double Barrel damper adjustable in rebound and compression stages
- Kinematic points precisely positioned by reworking the MC
- In-house designed and manufactured CFRP rims (only 1.5kg per rim)
- Brembo disc brake system
- Sequential 6-speed motorcycle transmission with pneumatic gear shifting
- Chain drive
- Hydraulic clutch actuation
- Self designed TUfast VarioLoc differential
- Self-designed and -manufactured CFK drive shafts
Electronics
- TUfast Engine Management System
- High Speed CAN Bus
- Control electronics on steering wheel
- Error memory readable via USB
- Differential control unit
- In-house production of the wiring harness
- Own data logging modules
- Telemetry Unit
- Real-Time Tasking
Season Recap nb07
Competitions
Formula Student Germany 2007
1. Place in the Engineering Design
3. Place in the Cost Event
17. Place Overall
Special Awards
Most Innovative Use of Electronics
3. Place BMW Drivetrain Award